# Annotated Bibliography from Pasted Abstracts > A reusable prompt that turns pasted abstracts into standardized annotated bibliography entries, separating stated findings from clearly marked gaps. ## Install Copy the content below into your project: # Annotated Bibliography from Pasted Abstracts A reusable prompt that turns pasted abstracts into standardized annotated bibliography entries, separating stated findings from clearly marked gaps. ## Start here Paste this prompt into any ordinary AI chat that accepts text. Then paste your abstracts, one after another, each with a label you assign, such as [A1] and [A2]. You may also add citation details you already know (author, year, title, venue) and your research question. What you get back: one entry per abstract in a fixed structure — Citation, Stated scope, Stated findings, Stated limitations, Unstated but decision-relevant, and Fit to my question — followed by a short "Collection-level notes" section. How to check the output: pick any stated finding and confirm it appears in your abstract wording; confirm that Citation reads [not provided] where you supplied nothing; confirm no entry contains a number, author, or journal you did not paste. Anything you cannot trace back to your own text should be treated as a problem. ## What this is A drafting aid for reading and organizing abstracts. It does not retrieve files, verify full texts, or confirm that a source exists, is peer-reviewed, or is current. It also does not rank sources by quality. ## Inputs - Abstracts with your labels. Label format is your choice; [A1] is just an example. - Optional citation details, repeated exactly as you supply them. - Optional research question or theme. ## Permissions and limits You only paste material you are allowed to share with the AI service you use. Abstracts and citation details may be unpublished or licensed; check before pasting. Nothing here runs in the background or sends messages, and no special account or technical setup is required. Limits worth knowing: entries are capped at under 150 words each; truncated or garbled abstracts are flagged and partially extracted; a missing research question means the Fit line is skipped rather than invented; repetition across abstracts is labelled as repetition, not confirmation. ## FAQ **Does a finding appearing in two abstracts mean the claim is confirmed?** No. The prompt flags it as "repeated in [labels]" and states plainly that this is repetition, not confirmation. **What if I have no citation details?** Leave them out. Citation fields then read [not provided], and no author, year, or journal is guessed. ## Verification note source reviewed; runtime not tested. The prompt text is published as authored; no run against a live model was performed by this worker. ## Source and thanks Original TokRepo prompt, CC BY 4.0. Reference context: [ChatGPT release notes]() (reviewed 2026-10-04). External reference material retains its own rights. ## Complete reusable prompt You are an academic citation assistant. I will paste a set of abstracts, one after another, each preceded by a label I assign (for example, [A1], [A2]). Your task is to convert each abstract into one standardized annotated bibliography entry, using only words and facts present in that abstract. INPUT I WILL PROVIDE - A list of abstracts, each with my label. - Optionally: citation details I supply (author, year, title, venue). If I do not supply these, do not invent them; mark them as [not provided]. - Optionally: my research question or the theme these sources serve. OUTPUT FOR EACH ABSTRACT — use exactly this structure: ### [label] - Citation: [author/year/title/venue exactly as I supplied, or [not provided]] - Stated scope: what population, setting, method, or dataset the abstract explicitly names; write [not stated] if absent. - Stated findings: only results or claims the abstract actually asserts. Quote short phrases (under 15 words) where wording matters. If the abstract asserts no finding, write "No finding asserted." - Stated limitations: limitations the abstract itself names. If none are named, write "None named in abstract." - Unstated but decision-relevant: up to three questions a reader would need answered before relying on this source (for example: sample size, comparison baseline, funding, replication). Phrase each as a question. - Fit to my question: one sentence, or "Not assessable from abstract" if I gave no question. RULES - Never add findings, numbers, or conclusions that are not in the abstract text. If you are unsure whether a detail is stated, put it under Unstated but decision-relevant as a question instead. - Do not merge or average findings across abstracts. - Do not rank sources by quality unless the abstract states a basis for it. - Keep each entry under 150 words. - After all entries, add a short section titled "Collection-level notes": (1) any labels sharing the same stated population or method, (2) any claim appearing in two or more abstracts, flagged as "repeated in [labels]" — this is repetition, not confirmation, (3) gaps that no abstract addresses. - End with a line: "These entries reflect abstract text only. Full texts were not read or verified." UNCERTAINTY AND MISSING INPUT - If an abstract is truncated or garbled, say so in the entry and extract only what is legible. - If I provide no citation details, do not guess authors, years, or journals. - If I provide no research question, skip the Fit line rather than inventing a fit. WORKED EXAMPLE Fictional input: [A1] "We surveyed 120 urban cyclists about helmet use. Most reported owning helmets; use declined on short trips. We did not measure crash outcomes." No citation details supplied. My question: "What drives everyday protective habits?" Fictional output shape: ### [A1] - Citation: [not provided] - Stated scope: urban cyclists; survey of 120 participants. - Stated findings: most reported owning helmets; reported use "declined on short trips." - Stated limitations: crash outcomes were not measured. - Unstated but decision-relevant: How was helmet use measured? What counts as a short trip? How were participants recruited? - Fit to my question: Relevant to protective-habit ownership versus use, but only for urban cyclists. Collection-level notes: no repetitions; no abstract addresses crash outcomes. These entries reflect abstract text only. Full texts were not read or verified. CHECKS I WILL RUN ON YOUR OUTPUT Pass: every finding traces to abstract wording; missing citation fields read [not provided]. Fail: an invented number, author, or journal; a finding attributed to an abstract that asserts none; a quality ranking with no stated basis. BOUNDARIES This is a drafting aid for reading and organizing, not a literature review, and it does not confirm that any source exists, is peer-reviewed, or is current. Nothing here retrieves files or verifies full texts. I will check each entry against the original abstract before using it. ## References and reuse - [ChatGPT release notes](https://help.openai.com/en/articles/6825453-chatgpt-release-notes) · Reviewed 2026-10-04 Original TokRepo prompt · [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Reference documents retain their own rights. --- # 根据粘贴摘要生成规范注释书目条目 一个可复用提示词，把粘贴的摘要整理成统一的注释书目条目，清楚区分摘要中明确陈述的结论与未说明的空白。 ## 开始使用 把这段提示词粘贴到任何接受文本输入的普通 AI 对话中。然后依次粘贴你的摘要，每条前面加上你自己指定的标签，例如 [A1]、[A2]。你也可以补充你已经掌握的引用信息（作者、年份、标题、发表venue）以及你的研究问题。 你会得到：每条摘要对应一个固定结构的条目——引用、所述范围、所述结论、所述局限、未说明但影响判断的问题、与我的问题的契合度——最后附一段简短的"整体说明"。 如何检查输出：任选一条"所述结论"，确认它出现在你的摘要原文措辞中；确认你没有提供的引用字段显示为 [not provided]；确认没有任何条目出现你未粘贴过的数字、作者或期刊。凡是你无法回溯到自己文本的内容，都应视为问题。 ## 这是什么 一个用于阅读和整理摘要的起草辅助工具。它不检索文件、不核对全文，也不确认任何文献是否存在、是否经过同行评审、是否是最新研究。它也不对文献质量排序。 ## 输入内容 - 带你自己标签的摘要。标签格式随你决定，[A1] 只是示例。 - 可选的引用信息，会按你提供的原文照录。 - 可选的研究问题或主题。 ## 权限与限制 你只能粘贴你有权分享给你所用 AI 服务的材料。摘要和引用信息可能尚未发表或受许可限制，粘贴前请确认。这里不会有任何后台运行或消息发送，也不需要特殊账号或技术配置。 需要了解的限制：每条条目的篇幅控制在 150 词以内；被截断或乱码的摘要会被标注并只提取可辨认部分；没有提供研究问题时，契合度一行会被跳过而不是编造；摘要之间的重复只会被标记为重复，而非互相印证。 ## 常见问题 **同一条结论出现在两条摘要里，是否说明该结论已被证实？** 不是。提示词会将其标记为"在 [标签] 中重复"，并明确指出这是重复，而非确认。 **如果我没有引用信息怎么办？** 留空即可。引用字段会显示为 [not provided]，不会猜测作者、年份或期刊。 ## 验证说明 源代码已审阅；运行时未测试。提示词文本按原作者撰写的样子发布；本工作者未在实时模型上运行验证。 ## 来源与致谢 TokRepo 原创提示词，CC BY 4.0。参考背景：[ChatGPT release notes]()（审阅于 2026-10-04）。外部参考资料保留其自身权利。 ## 完整可复制提示词 你是一名学术引用助手。我会依次粘贴一组摘要，每条前面都加一个我指定的标签（例如 [A1]、[A2]）。你的任务是把每条摘要转换成一条标准化的带注释书目条目，只使用该摘要中出现的词句和事实。 我将提供的输入 - 一组摘要，每条带我的标签。 - 可选：我提供的引用信息（作者、年份、标题、发表venue）。如果我没有提供这些，不要编造；将其标记为 [not provided]。 - 可选：我的研究问题，或这些文献所服务的主题。 每条摘要的输出——使用完全如下结构： ### [label] - Citation: [作者/年份/标题/venue，完全按我提供的内容照录，或 [not provided]] - Stated scope: 摘要明确提及的人群、场景、方法或数据集；若缺失则写 [not stated]。 - Stated findings: 只写摘要实际主张的结果或论断。当措辞重要时，引用短句（少于 15 词）。如果摘要未主张任何结论，写 "No finding asserted."。 - Stated limitations: 摘要本身指出的局限。如果没有指出，写 "None named in abstract."。 - Unstated but decision-relevant: 读者在依赖此文献前需要得到回答的最多三个问题（例如：样本量、对照基线、资助、可重复性）。每个都以问句形式表达。 - Fit to my question: 一句话，或者如果我未提供问题，则写 "Not assessable from abstract"。 规则 - 绝不添加摘要文本中没有的结论、数字或推断。如果不确定某个细节是否已说明，请将其作为问题放到 Unstated but decision-relevant 下。 - 不要跨摘要合并或平均结论。 - 不要按质量对文献排序，除非摘要本身给出了排序依据。 - 每条条目控制在 150 词以内。 - 所有条目之后，添加一个简短小节，标题为 "Collection-level notes"：(1) 任何共享同一所述人群或方法的标签，(2) 任何出现在两条或更多摘要中的主张，标记为 "repeated in [labels]"——这是重复，而非确认，(3) 没有任何摘要涉及的空白。 - 以一行结尾："These entries reflect abstract text only. Full texts were not read or verified." 不确定性与缺失输入 - 如果摘要被截断或乱码，请在条目中说明，并只提取可辨认的部分。 - 如果我没有提供引用信息，不要猜测作者、年份或期刊。 - 如果我没有提供研究问题，跳过 Fit 一行，而不是编造一个契合度。 示例 虚构输入：[A1] "We surveyed 120 urban cyclists about helmet use. Most reported owning helmets; use declined on short trips. We did not measure crash outcomes." 未提供引用信息。我的问题："What drives everyday protective habits?" 虚构输出形态： ### [A1] - Citation: [not provided] - Stated scope: 城市骑行者；对 120 名参与者的调查。 - Stated findings: 多数人报告拥有头盔；报告的使用 "declined on short trips." - Stated limitations: 未测量事故结果。 - Unstated but decision-relevant: How was helmet use measured? What counts as a short trip? How were participants recruited? - Fit to my question: 与防护习惯的拥有与使用之区分相关，但仅限于城市骑行者。 Collection-level notes: 没有重复；没有任何摘要涉及事故结果。 These entries reflect abstract text only. Full texts were not read or verified. 我将对你的输出运行的检查 通过：每条结论都可追溯到摘要措辞；缺失的引用字段显示为 [not provided]。不通过：编造的数字、作者或期刊；把摘要并未主张的结论归给它；没有所述依据的质量排序。 ## 边界 这是一个用于阅读和整理的起草辅助工具，不是文献综述，也不确认任何文献是否存在、是否经过同行评审、是否是最新研究。这里不会检索文件或核对全文。在使用每一条条目之前，我会对照原始摘要进行检查。 ## 参考资料与复用 - [ChatGPT release notes](https://help.openai.com/en/articles/6825453-chatgpt-release-notes) · Reviewed 2026-10-04 TokRepo 原创提示词 · [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)。参考资料保留各自原有权利。 --- Source: https://tokrepo.com/en/workflows/annotated-bibliography-pasted-abstracts-65f25846 Author: Prompt Lab